


from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE     :					Optional[Any]      =       logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE     :					Dict      =       {
    "EleutherAI/gpt-neox-20b": "https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/config.json",
    # See all GPTNeoX models at https://huggingface.co/models?filter=gpt_neox
}

class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						'gpt_neox'
    def __init__(			self     ,   __snake_case=5_0_4_3_2     ,   __snake_case=6_1_4_4     ,   __snake_case=4_4     ,   __snake_case=6_4     ,   __snake_case=2_4_5_7_6     ,   __snake_case="gelu"     ,   __snake_case=0.25     ,   __snake_case=1_0_0_0_0     ,   __snake_case=0.0     ,   __snake_case=0.0     ,   __snake_case=0.1     ,   __snake_case=2_0_4_8     ,   __snake_case=0.02     ,   __snake_case=1E-5     ,   __snake_case=True     ,   __snake_case=0     ,   __snake_case=2     ,   __snake_case=False     ,   __snake_case=True     ,   __snake_case=None     ,   **__snake_case     ,   ):
         super().__init__(bos_token_id=__snake_case     ,   eos_token_id=__snake_case     ,   **__snake_case       )
         snake_case											=							vocab_size
         snake_case											=							max_position_embeddings
         snake_case											=							hidden_size
         snake_case											=							num_hidden_layers
         snake_case											=							num_attention_heads
         snake_case											=							intermediate_size
         snake_case											=							hidden_act
         snake_case											=							rotary_pct
         snake_case											=							rotary_emb_base
         snake_case											=							attention_dropout
         snake_case											=							hidden_dropout
         snake_case											=							classifier_dropout
         snake_case											=							initializer_range
         snake_case											=							layer_norm_eps
         snake_case											=							use_cache
         snake_case											=							tie_word_embeddings
         snake_case											=							use_parallel_residual
         snake_case											=							rope_scaling
         self._rope_scaling_validation()

         if self.hidden_size % self.num_attention_heads != 0:
              raise ValueError(
                  '''The hidden size is not divisble by the number of attention heads! Make sure to update them!'''       )




    def 						a_     (			self       ):
         if self.rope_scaling is None:
              return

         if not isinstance(self.rope_scaling     ,   __snake_case       ) or len(self.rope_scaling       ) != 2:
              raise ValueError(
                  '''`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, '''
                  F'''got {self.rope_scaling}'''       )
         snake_case											=							self.rope_scaling.get('''type'''     ,   __snake_case       )
         snake_case											=							self.rope_scaling.get('''factor'''     ,   __snake_case       )
         if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
              raise ValueError(
                  F'''`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}'''       )
         if rope_scaling_factor is None or not isinstance(__snake_case     ,   __snake_case       ) or rope_scaling_factor <= 1.0:
              raise ValueError(F'''`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}'''       )








import requests

_SCREAMING_SNAKE_CASE     :					Optional[int]      =       ""  # <-- Put your OpenWeatherMap appid here!
_SCREAMING_SNAKE_CASE     :					Optional[Any]      =       "https://api.openweathermap.org/data/2.5/"
def      UpperCAmelCase__		(UpperCamelCase_ = "Chicago"				,UpperCamelCase_ = APPID							):



     """simple docstring"""






     return requests.get(URL_BASE + '''weather'''				,params=locals()							).json()
def      UpperCAmelCase__		(UpperCamelCase_ = "Kolkata, India"				,UpperCamelCase_ = APPID							):



     """simple docstring"""






     return requests.get(URL_BASE + '''forecast'''				,params=locals()							).json()
def      UpperCAmelCase__		(UpperCamelCase_ = 55.68				,UpperCamelCase_ = 12.57				,UpperCamelCase_ = APPID							):



     """simple docstring"""






     return requests.get(URL_BASE + '''onecall'''				,params=locals()							).json()


if __name__ == "__main__":
 from pprint import pprint

 while True:
  _SCREAMING_SNAKE_CASE     :					Any      =       input("Enter a location:").strip()
  if location:
   pprint(current_weather(location))
  else:
   break




